
import word2vector

# SpectralClustering.topicModel.dbscan("data/comment/comment.data")
# SpectralClustering.topicModel.print_topics("data/comment/comment.data.kmeans_100.wordtopics"
#                                            ,"data/comment/comment.data.wordmap"
#                                            ,"data/comment/comment.data",100)

# dataProcess.wordSegment_Chinese.word_segment("data/comment/comment.data")

# word2vector.doTrainModel("G:/intellij/TopicModelForShortText/My_LDA/data/news/news.data")
word2vector.wordVec_presented_doc("G:\intellij\TopicModelForShortText\My_LDA\data\\news\word2vec\\news.data")
